tag:blogger.com,1999:blog-9179325420174899779.post6289426665435847630..comments2024-03-28T07:00:54.020-07:00Comments on ExploringDataBlog: Gastwirth’s location estimatorRon Pearson (aka TheNoodleDoodler)http://www.blogger.com/profile/15693640298594791682noreply@blogger.comBlogger4125tag:blogger.com,1999:blog-9179325420174899779.post-43921053363108813122020-07-24T10:12:08.628-07:002020-07-24T10:12:08.628-07:00This comment has been removed by the author.Eva.Williamhttps://www.blogger.com/profile/04830148838367363692noreply@blogger.comtag:blogger.com,1999:blog-9179325420174899779.post-25364788506266000082014-03-07T19:20:02.901-08:002014-03-07T19:20:02.901-08:00Good post, thanks. Can you help me indicating in w...Good post, thanks. Can you help me indicating in wich article is proposed the Gastwirth mean?Raulazzohttps://www.blogger.com/profile/05640360294305303715noreply@blogger.comtag:blogger.com,1999:blog-9179325420174899779.post-1673169695294038062012-11-19T20:27:48.030-08:002012-11-19T20:27:48.030-08:00I actually enjoyed reading through this posting.Ma...I actually enjoyed reading through this posting.Many thanks.<br /><br /><br /><br /><br /><br /><br /><br /><br /><a href="http://www.amitysoft.com/cosmic.html" rel="nofollow">Function Point Estimation Training</a>Anonymoushttps://www.blogger.com/profile/08075112033436514649noreply@blogger.comtag:blogger.com,1999:blog-9179325420174899779.post-36576665929076878232012-03-04T12:30:20.958-08:002012-03-04T12:30:20.958-08:00Nice post. I hadn't heard of Gastwirth's ...Nice post. I hadn't heard of Gastwirth's estimator before. It does seem to have reasonable properties in the examples you show, though those are somewhat contrived, compared to real data one encounters. <br /><br />And the estimator is quite ad-hoc-- you could just as well propose using k quantiles with any weight vector you like, and show similarly intermediate results between the mean and median, couldn't you? What's special about these quantiles and weights? And, how would the method compare with, say, the winsorized mean? (See windsor() in the psych package.) Or the trimmed mean, which is built into the R base mean() function?Ken Kleinmanhttps://www.blogger.com/profile/09525118721291529157noreply@blogger.com